Path: Top -> Journal -> Telkomnika -> 2020 -> Vol 18, No 4, August
Detection of uveal melanoma using fuzzy and neural networks classifiers
By : Daniel F. Santos, Helbert Eduardo Espitia, Telkomnika
Created : 2021-01-19, with 1 files
Keyword : fuzzy systems; image processing; neural networks; uveal melanoma;
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/14228
Document Source : web
The use of image processing is increasingly utilized for disease detection. In this article, an algorithm is proposed to detect uveal melanoma (UM) which is a type of intraocular cancer. The proposed method integrates algorithms related to iris segmentation and proposes a novel algorithm for the detection of UM from the approach of fuzzy logic and neural networks. The study case results show 76% correct classification in the fuzzy logic system and 96.04% for the artificial neural networks.
| Property | Value |
|---|---|
| Publisher ID | gdlhub |
| Organization | Telkomnika |
| Contact Name | Herti Yani, S.Kom |
| Address | Jln. Jenderal Sudirman |
| City | Jambi |
| Region | Jambi |
| Country | Indonesia |
| Phone | 0741-35095 |
| Fax | 0741-35093 |
| Administrator E-mail | elibrarystikom@gmail.com |
| CKO E-mail | elibrarystikom@gmail.com |
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